inverse problems

Join us in person on September 23-24, 2024 at DESY in Hamburg for a workshop on Deep Learning in Inverse Problems, jointly organized by DESY, DFG, FoDL, the University of Hamburg, and Helmholtz Imaging. Register by 15 September at here.

This workshop focuses on novel developments on learning based methods for inverse problems, including supervised learning and unsupervised learning such as learned regularizations and generative models for Bayesian inversion. Particular emphasis will be put on the understanding of foundations of learning in this area as well as novel applications including problems in imaging and speech/audio processing.

Speakers include:

• Tatiana Bubba (University of Bath),
• Antoine Deleforge (INRIA Nancy),
• Berthy Feng (Caltech),
• Eloi Moliner (Aalto University Helsinki), and
• Ozan Öktem (KTH Stockholm).